Registered S3 method overwritten by 'quantmod':
method from
as.zoo.data.frame zoo
── Attaching core tidyquant packages ─────────────────────── tidyquant 1.0.11 ──
✔ PerformanceAnalytics 2.0.8 ✔ TTR 0.24.4
✔ quantmod 0.4.28 ✔ xts 0.14.1── Conflicts ────────────────────────────────────────── tidyquant_conflicts() ──
✖ zoo::as.Date() masks base::as.Date()
✖ zoo::as.Date.numeric() masks base::as.Date.numeric()
✖ dplyr::filter() masks stats::filter()
✖ xts::first() masks dplyr::first()
✖ zoo::index() masks tsibble::index()
✖ tsibble::interval() masks lubridate::interval()
✖ dplyr::lag() masks stats::lag()
✖ xts::last() masks dplyr::last()
✖ PerformanceAnalytics::legend() masks graphics::legend()
✖ quantmod::summary() masks base::summary()
✖ tidyquant::VAR() masks fable::VAR()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
Attaching package: 'tidyquant'
The following object is masked from 'package:fable':
VAR
library(plotly)
Attaching package: 'plotly'
The following object is masked from 'package:ggplot2':
last_plot
The following object is masked from 'package:stats':
filter
The following object is masked from 'package:graphics':
layout
Warning in geom2trace.default(dots[[1L]][[4L]], dots[[2L]][[1L]], dots[[3L]][[1L]]): geom_() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
Warning in geom2trace.default(dots[[1L]][[4L]], dots[[2L]][[1L]], dots[[3L]][[1L]]): geom_() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
Warning in geom2trace.default(dots[[1L]][[4L]], dots[[2L]][[1L]], dots[[3L]][[1L]]): geom_() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
Warning in geom2trace.default(dots[[1L]][[4L]], dots[[2L]][[1L]], dots[[3L]][[1L]]): geom_() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
El modelo que muestra la mejor métrica de error es el semi_auto_bx, utilizando la transformación matemática de box-cox para estabilizar la varianza y un modelo \(ARIMA(2,1,0)(0,1,0)_{12}\) . Con un MAPE de 4.412171% de error de pronóstico.